Google Pixel 7a
Geekbench AI Score
728
Single Precision Score
1047
Half Precision Score
849
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | Jasin55 |
| Upload Date | July 31 2025 10:42 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Google Pixel 7a |
| Model ID | Google Pixel 7a |
| Motherboard | lynx |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.35 GHz |
| Cluster 3 | 2 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
244
45.4 IPS |
|
|
Image Classification (HP)
|
100% |
318
59.1 IPS |
|
|
Image Classification (Q)
|
97% |
300
56.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1055
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1542
25.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4465
5.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
9839
11.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
9739
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
381
30.2 IPS |
|
|
Object Detection (HP)
|
99% |
437
34.6 IPS |
|
|
Object Detection (Q)
|
83% |
443
35.8 IPS |
|
|
Face Detection (SP)
|
100% |
1756
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
2403
28.6 IPS |
|
|
Face Detection (Q)
|
96% |
2222
26.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2303
17.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3775
29.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
2883
27.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6534
8.40 IPS |
|
|
Style Transfer (HP)
|
100% |
15652
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15268
19.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1094
40.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1243
45.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1296
48.0 IPS |
|
|
Text Classification (SP)
|
35% |
12
109.4 IPS |
|
|
Text Classification (HP)
|
35% |
15
139.5 IPS |
|
|
Text Classification (Q)
|
32% |
10
134.2 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.78 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.92 IPS |
|
|
Machine Translation (Q)
|
43% |
77
4.50 IPS |
